Azure Developer/Lead/Architect - Generative AI
Reyika
Job Summary :We are seeking an experienced Gen AI + Azure Developer to design, develop, and deploy AI-driven solutions leveraging Microsoft Azures cloud ecosystem. The ideal candidate will have strong expertise in Generative AI, cloud-native application development, and scalable architecture, with the ability to translate business needs into intelligent, production-ready solutions.Key Responsibilities :- Design and develop Generative AI solutions using modern LLM frameworks and tools.- Build, deploy, and manage AI/ML applications on Microsoft Azure.- Integrate AI capabilities into existing enterprise applications and workflows.- Develop and consume APIs for AI services and microservices-based architectures.- Work with large datasets to fine-tune, evaluate, and optimize AI models.- Implement prompt engineering techniques to improve model performance and outputs.- Ensure scalability, security, and performance of AI solutions on cloud platforms.- Collaborate with cross-functional teams including product, engineering, and data teams.- Stay updated with the latest advancements in AI, LLMs, and Azure services.- Troubleshoot, debug, and optimize deployed solutions.Required Skills & Qualifications :Generative AI & ML :- Strong understanding of Generative AI concepts, LLMs, and NLP.- Experience with frameworks like LangChain, LlamaIndex, or similar.- Hands-on experience with prompt engineering, embeddings, and vector databases.- Familiarity with model fine-tuning and evaluation techniques.Azure Cloud :- Strong experience with Microsoft Azure services such as :i. Azure OpenAI Serviceii. Azure Machine Learningiii. Azure Functionsiv. Azure Kubernetes Service (AKS)v. Azure Cognitive Services- Experience in deploying and managing scalable cloud applications.Programming & Development :- Proficiency in Python (preferred) or JavaScript/Node.js.- Experience in building RESTful APIs and microservices.- Knowledge of containerization tools like Docker and orchestration using Kubernetes.Data & Integration :- Experience with vector databases (e.g., Pinecone, FAISS, or similar).- Familiarity with data pipelines and handling structured/unstructured data.- Understanding of API integrations and third-party services.DevOps & Tools :- Experience with CI/CD pipelines.- Familiarity with version control systems like Git.- Knowledge of monitoring and logging tools. (ref:hirist.tech)
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